SkillVis: A Visualization Tool for Boxing Skill Assessment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Motion analysis and visualization are crucial in sport science for sport training and performance evaluation. While primitive computational methods have been proposed for simple analysis such as postures and movements, few can evaluate high-level quality of sport players such as their skill levels and strategies. We propose a visualization tool to help visualizing boxers’ motions and assess their skill levels. Our system automatically builds a graph-based representation upon motion capture data and reduces the dimension of the graph onto a 3D space so that it can be easily visualized and understood. In particular, our system allows easy understanding of the boxer’s boxing behaviours, preferred actions, potential strength and weakness. We demonstrate the effectiveness of our system on different boxers’ motions. Our system not only serves as a tool of visualization, it also provides intuitive motion analysis that can be further used beyond sports science.
Original languageEnglish
Title of host publicationMIG '16 Proceedings of the 9th International Conference on Motion in Games
PublisherACM
Pages145-153
Number of pages9
ISBN (Electronic)978-1-4503-4592-7
DOIs
Publication statusPublished - 10 Oct 2016
Event9th International Conference on Motion in Games - Burlingame, United States
Duration: 10 Oct 201612 Oct 2016
https://mig2016.inria.fr/

Conference

Conference9th International Conference on Motion in Games
Abbreviated titleMiG'16
Country/TerritoryUnited States
CityBurlingame
Period10/10/1612/10/16
Internet address

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